Pages that link to "Item:Q5123153"
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The following pages link to Finite Mixture Models for Mapping Spatially Dependent Disease Counts (Q5123153):
Displaying 11 items.
- Mixtures of spatial and unstructured effects for spatially discontinuous health outcomes (Q1019953) (← links)
- Finite mixtures approach to ecological regression (Q1766996) (← links)
- A Riemannian Newton trust-region method for fitting Gaussian mixture models (Q2066749) (← links)
- Spatial mixture multiscale modeling for aggregated health data (Q2829463) (← links)
- Hierarchical multivariate mixture generalized linear models for the analysis of spatial data: an application to disease mapping (Q2829465) (← links)
- Mixtures of factor models for multivariate disease rates (Q2925464) (← links)
- Classification method for disease risk mapping based on discrete hidden Markov random fields (Q3303812) (← links)
- Italian contributions on some recent research topics in cluster analysis (Q5148604) (← links)
- Bayesian non‐parametric spatial prior for traffic crash risk mapping: A case study of Victoria, Australia (Q6051667) (← links)
- A mechanistic spatio‐temporal modeling of COVID‐19 data (Q6149264) (← links)
- Spatiotemporal clustering using Gaussian processes embedded in a mixture model (Q6626407) (← links)